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403 results for “occurrence data”
Evaluation of the shucking of certain species of scallops contaminated with domoic acid with a view to the production of edible parts meeting the safety requirements foreseen in the Union legislation - Summary statistics on occurrence and consumption data and exposure assessment results
<p>DomoicAcid_Raw_Occurrence_Data.CSV contains the raw occurrence dataset on Domoic Acid contaminant in scallops as extracted from EFSA DWH on the 9 June 2020, 16,369 samples presented in the opinion as described in its section 1.3.2. Occurrence data submitted to EFSA. The data is provided in .csv format. This dataset is compliant with EFSA SSD model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: outcome) to address the issue (e.g. delete record or update values in specific fields).</p> <p>The link to the catalogues of controlled terminologies can be found under "Related identifiers”.</p> <p><strong>Annex_</strong> DomoicAcid</p> <p>Table of contents</p> <p><br> Table A1</p> <p>Description of FoodEx2 codes used to describe scallop species and their anatomical parts</p> <p>Table A2</p> <p>Data cleaning steps applied to occurrence data on domoic acid in scallops</p> <p>Table A3</p> <p>Percentage of Left-Censored data and descriptive statistics for Limits of detection (LODs) and Limits of quantification (LOQs) for domoic acid in scallops (mg/kg)</p> <p>Table A4</p> <p>Descriptive statistics for domoic acid in scallops (mg/kg) as reported in the cleaned database (statistics weighted by number of units per sample)</p> <p>Table A5</p> <p>Descriptive statistics of body tissue weights (g) of scallops as submitted by data providers</p>
Text-fig. 4. Occurrence of P3 in maxillae from Deninger bears and cave bears, data after Table 1 (presence = P3 or alveoli observed, absence = no P3 developed, broken = caudal part of maxilla broken). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 4. Occurrence of P3 in maxillae from Deninger bears and cave bears, data after Table 1 (presence = P3 or alveoli observed, absence = no P3 developed, broken = caudal part of maxilla broken).
Text-fig. 2. Occurrence of P3 in maxillae from brown bears, data after Table 1 (presence = P3 or alveoli observed, absence = no P3 developed, broken = caudal part of maxilla broken). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 2. Occurrence of P3 in maxillae from brown bears, data after Table 1 (presence = P3 or alveoli observed, absence = no P3 developed, broken = caudal part of maxilla broken).
Text-fig. 8. Occurrence of p3 in mandibles from Deninger bears, data after Table 3 (presence = p3 or alveoli observed, absence = no p3 developed, broken = diastema fragmented). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 8. Occurrence of p3 in mandibles from Deninger bears, data after Table 3 (presence = p3 or alveoli observed, absence = no p3 developed, broken = diastema fragmented).
Text-fig. 6. Occurrence of p3 in mandibles from brown bears, data after Table 3 (presence = p3 or alveoli observed, absence = no p3 developed, broken = diastema fragmented). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 6. Occurrence of p3 in mandibles from brown bears, data after Table 3 (presence = p3 or alveoli observed, absence = no p3 developed, broken = diastema fragmented).
Text-fig. 5. Occurrence of p1 in mandibles from brown bears, data after Table 3 (presence = p1 or alveoli observed, absence = no p1 developed, broken = diastema fragmented). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 5. Occurrence of p1 in mandibles from brown bears, data after Table 3 (presence = p1 or alveoli observed, absence = no p1 developed, broken = diastema fragmented).
Text-fig. 1. Occurrence of P1 in maxillae from brown bears, data after Table 1 (presence = P1 or alveoli observed, absence = no P1 developed, broken = rostral part of maxilla broken). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 1. Occurrence of P1 in maxillae from brown bears, data after Table 1 (presence = P1 or alveoli observed, absence = no P1 developed, broken = rostral part of maxilla broken).
Text-fig. 3. Occurrence of P1 in maxillae from Deninger bears and cave bears, data after Table 1 (presence = P1 or alveoli observed, absence = no P1 developed, broken = rostral part of maxilla broken). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 3. Occurrence of P1 in maxillae from Deninger bears and cave bears, data after Table 1 (presence = P1 or alveoli observed, absence = no P1 developed, broken = rostral part of maxilla broken).
Text-fig. 7. Occurrence of p1 in mandibles from Deninger bears and cave bears, data after Table 3 (presence = p1 or alveoli observed, absence = no p1 developed, broken = diastema fragmented). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 7. Occurrence of p1 in mandibles from Deninger bears and cave bears, data after Table 3 (presence = p1 or alveoli observed, absence = no p1 developed, broken = diastema fragmented).
Global Flash Drought Data for the article "Global Distribution, Trends, and Drivers of Flash Drought Occurrence"
<p>Data is provided (in netcdf format) to reproduce Figures 1-4 in the article entitled "Global Distribution, Trends, and Drivers of Flash Drought Occurrence."</p>
Data from: Traits mediate niches and co-occurrences of forest beetles in ways that differ among bioclimatic regions
<p><b>Aim</b></p> <p>To investigate the role of traits in beetle community assembly and test for consistency in these effects among several bioclimatic regions. We asked (1) whether traits predicted species' responses to environmental gradients (i.e., their niches), (2) whether these same traits could predict co-occurrence patterns, and (3) how consistent were niches and the role of traits among study regions.</p> <p><b>Location</b></p> <p>Boreal forests in Norway and Finland, temperate forests in Germany.</p> <p><b>Methods</b></p> <p>We complied capture records of 468 wood-living beetle species from the three regions, along with nine morphological and ecological traits. Eight climatic and forest covariates were also collected. We used Bayesian hierarchical joint species distribution models to estimate the influence of traits and phylogeny on species' niches. We also tested for correlations between species associations and trait similarity. Finally, we compared species niches and the effects of traits among study regions.</p> <p><b>Results</b></p> <p>Traits explained some of the variability in species' niches, but their effects differed among study regions. However, substantial phylogenetic signal in species niches implies that unmeasured but phylogenetically structured traits have a stronger effect. Degree of trait similarity was correlated with species associations but depended idiosyncratically on the trait and region. Species niches were much more consistent – widespread taxa often responded similarly to an environmental gradient among regions.</p> <p><b>Main conclusions</b></p> <p>The inconsistent effects of traits among regions limits their current use in understanding beetle community assembly. Phylogenetic signal in niches, however, implies that better predictive traits can eventually be identified. Consistency of species niches among regions means niches may remain relatively stable under future climate and land use changes; this lends credibility to predictive distribution models based on future climate projections but may imply that species' scope for short-term adaptation is limited.</p>
Puma concolor occurrence points (filtered data)
<p>Puma concolor occurrence points (duplicates removed) in Canada until December 2021. Used in Maxent habitat suitability model (performed in R).</p>
Occurrence data on N-nitrosamines provided to EFSA
<p>The file contains the raw occurrence dataset on nitrosamines in food as extracted from EFSA DWH on 3 July 2021 and presented in the EFSA opinion on Risk assessment of N-nitrosamines in food available at https://doi.org/10.2903/j.efsa.2023.7884. The data is provided in csv format. This dataset is compliant with EFSA SSD2 data model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: action) to address the issue (e.g. delete record or update values in specific fields).</p> <p>The link to the catalogues of controlled terminologies for the updated textual description of fields values can be found under "Related identifiers”.</p>
Supplementary Material 7 including Salamandra salamandra occurrence data, topographic, geological and land cover data and node-based resistances
<p>Supplementary material for the article "Habitat connectivity supports the local abundance of fire salamanders (Salamandra salamandra) but also the spread of Batrachochytrium salamandrivorans" by Bolte <em>et al</em>. (2023) published in Landscape Ecology (DOI: 10.1007/s10980-023-01636-8)</p> <p>This folder comprises a .shp file with fire salamander occurrences, topographic and land cover data (GeoTiff) from the northern Eifel region as well as the R Code used for the statistical analysis of salamander habitat suitability and connectivity.</p>
Copper occurrence data related to EFSA opinion on copper 2023
<p>The file contains the raw occurrence dataset on copper in food as extracted from EFSA DWH on 10th of March 2021 and presented in the EFSA opinion on "Re‐evaluation of the existing health‐based guidance values for copper and exposure assessment from all sources" available at https://doi.org/10.2903/j.efsa.2023.7728. The data is provided in csv format. This dataset is compliant with EFSA SSD2 data model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: action) to address the issue (e.g. delete record or update values in specific fields).</p> <p>The link to the catalogues of controlled terminologies for the updated textual description of fields values can be found under "Related identifiers”.</p>
Data for the publication "Significant Increase in Graupel and Lightning Occurrence in a Warmer Climate Simulated by Prognostic Graupel Parameterization"
<p>This dataset includes a set of 11yr simulations using the MIROC6 global aerosol-climate model under the pre-industrial (PI, aerosol emission at the year 1850), present-day (PD, aerosol emission at the year 2000), and future warming (SST+4K, a uniform 4 K increase in sea surface temperature) conditions.</p> <p>The data are used in the manuscript entitled "Significant Increase in Graupel and Lightning Occurrence in a Warmer Climate Simulated by Prognostic Graupel Parameterization".</p>
Data from: Environmental variables influence patterns of mammal co-occurrence following introduced predator control
<p>Co-occurring species often overlap in resource use and can interact in complex ways. However, shifts in environmental conditions or resource availability can lead to changes in patterns of species co-occurrence, which may be exacerbated by global escalation of human disturbances to ecosystems, including conservation directed alterations. We investigated the relative abundance and co-occurrence of two naturally sympatric mammal species following two forms of environmental disturbance: wildfire and introduced predator control. Using 14 years of abundance data from repeat surveys at long-term monitoring sites in south-eastern Australia, we examined the association between a marsupial, the common brushtail possum Trichosurus vulpecula, and a co-occurring native rodent, the bush rat <em>Rattus fuscipes</em>. We asked: Is the increase in abundance of common brushtail possums following control of an introduced predator associated with a decline in abundance of the bush rats?</p> <p>Using Bayesian regression models, we tested hypotheses that the abundance of each species would vary with changes in environmental and disturbance variables, and that the negative association between bush rats and common brushtail possums was stronger than the association between bush rats and disturbance. Our analyses revealed that bush rat abundance varied greatly in relation to environmental and disturbance variables, whereas common brushtail possums showed relatively limited variation in response to the same variables. There was a negative association between common brushtail possums and bush rats, but this association was weaker than the initial decline and subsequent recovery of bush rats in response to wildfires.</p> <p>Using co-occurrence analysis, we can readily infer negative relationships in abundance between co-occurring species, but to understand the impacts of such associations, and plan appropriate conservation measures, we require more information on interactions between the species and environmental variables. Co-occurrence can be a powerful and novel method to diagnose threats to communities and understand changes in ecosystem dynamics.</p>
A Unified Treatment of Kepler Occurrence to Trace Planet Evolution: Supplemental Data
<p>Here we present supplementary data underlying the paper "A Unified Treatment of Kepler Occurrence to Trace Planet Evolution I: Methodology." Included are:</p> <ul> <li>Planet catalogs; filenames "dr25_X_PCs_B20_ruwe.csv"</li> <li>Completeness contours; filenames "out0819_X_slog_insol__.fits.gz"</li> <li>Observed planet KDEs; filenames "out0827_X_sboot_1000__avg.npy"</li> </ul>
Data and analysis scripts for: Co-occurrence patterns at four spatial scales implicate reproductive processes in shaping community assembly in clovers
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Amazona obscured occurrences, background points, and environmental data
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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